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algorithmic contributions in intelligent decision making. Apart from dealing with the scalability challenge inherent in modern AI applications, our group works on two main research objectives. First, we aim
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of PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. Apart from dealing with the scalability challenge inherent in modern AI
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, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society. Complex dynamical
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vitro models that enable more realistic, spatiotemporal cell–cell and cell–matrix interactions as well as distribution of soluble factors. The Materials-Driven Regeneration program The Materials-Driven
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generation of cell culture platforms. The goal is to develop miniaturized in vitro models that enable more realistic, spatiotemporal cell–cell and cell–matrix interactions as well as distribution of soluble
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those related to climate change, inequality, the onset of artificial intelligence or geopolitical conflict – are ultimately addressed and coordinated through organizations. The study of organizations is
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intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge institutes, governments and industry, both
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subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other
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institute specializing in security, safety, and global challenges. These include challenges in the fields of cybersecurity, crises, intelligence, terrorism, war, violence, and diplomacy. ISGA is characterized
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you will work ISGA is a scientific institute specializing in security, safety, and global challenges. These include challenges in the fields of cybersecurity, crises, intelligence, terrorism, war